Machine Learning

Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study

Riccardo Doyle

JMIRx Med 2021 (Oct 15); 2(4):e29392

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Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study

Luisa Pumplun, Mariska Fecho, Nihal Wahl, Felix Peters, Peter Buxmann

J Med Internet Res 2021 (Oct 15); 23(10):e29301

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Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Seo Jeong Shin, Jungchan Park, Seung-Hwa Lee, Kwangmo Yang, Rae Woong Park

JMIR Med Inform 2021 (Oct 14); 9(10):e32771

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Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

Xinyue Li, Michael Kane, Yunting Zhang, Wanqi Sun, Yuanjin Song, Shumei Dong, Qingmin Lin, Qi Zhu, Fan Jiang, Hongyu Zhao

J Med Internet Res 2021 (Oct 14); 23(10):e18403

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Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

Hansle Gwon, Imjin Ahn, Yunha Kim, Hee Jun Kang, Hyeram Seo, Ha Na Cho, Heejung Choi, Tae Joon Jun, Young-Hak Kim

JMIR Public Health Surveill 2021 (Oct 13); 7(10):e30824

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Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse

Per E Kummervold, Sam Martin, Sara Dada, Eliz Kilich, Chermain Denny, Pauline Paterson, Heidi J Larson

JMIR Med Inform 2021 (Oct 08); 9(10):e29584

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Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development

Meng Ji, Pierrette Bouillon

JMIR Med Inform 2021 (Oct 07); 9(10):e30588

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Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Ruksana Shaukat-Jali, Nejra van Zalk, David Edward Boyle

JMIR Form Res 2021 (Oct 07); 5(10):e32656

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Predicting Prolonged Apnea During Nurse-Administered Procedural Sedation: Machine Learning Study

Aaron Conway, Carla R Jungquist, Kristina Chang, Navpreet Kamboj, Joanna Sutherland, Sebastian Mafeld, Matteo Parotto

JMIR Perioper Med 2021 (Oct 05); 4(2):e29200

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An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

Francesca Fiorentino, Denys Prociuk, Ana Belen Espinosa Gonzalez, Ana Luisa Neves, Laiba Husain, Sonny Christian Ramtale, Emma Mi, Ella Mi, Jack Macartney, Sneha N Anand, Julian Sherlock, Kavitha Saravanakumar, Erik Mayer, Simon de Lusignan, Trisha Greenhalgh, Brendan C Delaney

JMIR Res Protoc 2021 (Oct 05); 10(10):e30083

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Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study

Donghwan Yun, Semin Cho, Yong C Kim, Dong K Kim, Kook-Hwan Oh, Kwon W Joo, Yon S Kim, Seung S Han

JMIR Med Inform 2021 (Oct 01); 9(10):e27177

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A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

Inger Persson, Andreas Östling, Martin Arlbrandt, Joakim Söderberg, David Becedas

JMIR Form Res 2021 (Sep 30); 5(9):e28000

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Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach

Kenneth Chi-Yin Wong, Yong Xiang, Liangying Yin, Hon-Cheong So

JMIR Public Health Surveill 2021 (Sep 30); 7(9):e29544

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Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Huiwen Zhai, Xin Yang, Jiaolong Xue, Christopher Lavender, Tiantian Ye, Ji-Bin Li, Lanyang Xu, Li Lin, Weiwei Cao, Ying Sun

J Med Internet Res 2021 (Sep 30); 23(9):e27122

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Prevention of Suicidal Relapses in Adolescents With a Smartphone Application: Bayesian Network Analysis of a Preclinical Trial Using In Silico Patient Simulations

Stephane Mouchabac, Philippe Leray, Vladimir Adrien, Fanny Gollier-Briant, Olivier Bonnot

J Med Internet Res 2021 (Sep 30); 23(9):e24560

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Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development

Sooho Choe, Eunjeong Park, Wooseok Shin, Bonah Koo, Dongjin Shin, Chulwoo Jung, Hyungchul Lee, Jeongmin Kim

JMIR Med Inform 2021 (Sep 30); 9(9):e31311

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Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial

Norito Kawakami, Kotaro Imamura, Kazuhiro Watanabe, Yuki Sekiya, Natsu Sasaki, Nana Sato, SMART-CBT Project Team

JMIR Res Protoc 2021 (Sep 29); 10(9):e30305

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Saranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, Yanhong Wu, Sara Minnich, Amy Piazza, Collin Osborne, Gavin R Oliver, Jessica Lesko, Kathy L Bates, Kia Khezeli, Darci R Block, Margaret DiGuardo, Justin Kreuter, John C O’Horo, John Kalantari, Eric W Klee, Mohamed E Salama, Benjamin Kipp, William G Morice, Garrett Jenkinson

J Med Internet Res 2021 (Sep 28); 23(9):e30157

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Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis

Dan Wu, Jiye An, Ping Yu, Hui Lin, Li Ma, Huilong Duan, Ning Deng

J Med Internet Res 2021 (Sep 28); 23(9):e25630

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Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit

Cathy Yan, Melanie Law, Stephanie Nguyen, Janelle Cheung, Jude Kong

J Med Internet Res 2021 (Sep 24); 23(9):e32685

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